Research on machine learning and graphs. Open science, source, data.
fma. FMA: A Dataset For Music Analysis
2.6kcnn_graph. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
1.4kntds_2016. Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
98pygsp_tutorial_graphsip. Graph signal processing tutorial, presented at the GraphSiP summer school.
79ntds_2019. Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
71ntds_2017. Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
64ntds_2018. Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
59python_tour_of_data_science. A Python Tour of Data Science
30dlaudio. Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
16giin. Graph-based Image Inpainting
15learning-from-graphs-webconf2021. Learning from Graphs: From Mathematical Principles to Practical Tools
11dotfiles. my dotfiles
10atcsim. Air Traffic Control simulation, a C++11 learning experience
8terrain. OpenGL generated scene
7paper-cnn-graph-recurrent-iclr2017. Structured Sequence Modeling with Graph Convolutional Recurrent Networks
7saga. Mini-batch and distributed SAGA
6dlaudio_report. Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (report)
6paper-fma-challenge-webconf2018. Learning to Recognize Musical Genre from Audio, Challenge Overview
4srfsp. Super-resolution for mass spectrometry
3paper-fma-ismir2017. FMA: A Dataset For Music Analysis
2dlaudio_results. Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (results)
2paper-cheblienet. ChebLieNet: Invariant spectral graph NNs turned equivariant by Riemannian geometry on Lie groups
2gsp-summer-school-2016. Organization of a Graph Signal Processing Summer School
1homepage. https://deff.ch
1cv. Curriculum Vitae
1paper-cryoem-orientation-recovery. Learning to recover orientations from projections in single-particle cryo-EM
1paper-cnn-graph-nips2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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